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Model save

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README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: small-deepfake
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  results: []
@@ -14,6 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # small-deepfake
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -33,21 +38,24 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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- - train_batch_size: 32
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- - eval_batch_size: 32
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 0.6997 | 0.35 |
 
 
 
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  ### Framework versions
 
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  base_model: facebook/wav2vec2-base
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - accuracy
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  model-index:
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  - name: small-deepfake
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  results: []
 
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  # small-deepfake
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6464
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+ - Accuracy: 0.65
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.8 | 1 | 0.6969 | 0.35 |
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+ | No log | 1.6 | 2 | 0.9413 | 0.35 |
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+ | No log | 2.4 | 3 | 0.6769 | 0.6 |
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+ | No log | 3.2 | 4 | 0.6464 | 0.65 |
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  ### Framework versions
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